Zebra Technologies Corporation
Method for improper product barcode detection

Last updated:

Abstract:

Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.

Status:
Grant
Type:

Utility

Filling date:

18 Dec 2018

Issue date:

8 Sep 2020